File size: 1,144 Bytes
1fb5fb8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
357f9f1
1fb5fb8
 
 
 
 
 
 
357f9f1
1fb5fb8
 
357f9f1
1fb5fb8
 
 
 
 
 
4462eb9
357f9f1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
import streamlit as st
from modules.simulator import simulate_data
from modules.filters import apply_filters
from modules.visuals import display_dashboard, display_charts, display_heatmap

st.set_page_config(page_title="Vedavathi Smart Pole Monitoring", layout="wide")
st.title("📡 Vedavathi Smart Pole Monitoring - PoC Simulator")

# Sidebar controls
st.sidebar.header("🛠️ Simulation Controls")
num_poles = st.sidebar.slider("Number of Poles", min_value=5, max_value=50, value=10)
simulate_faults = st.sidebar.checkbox("Simulate Random Faults", value=True)

# Simulate data
df = simulate_data(num_poles, simulate_faults)

# Filters
st.sidebar.header("📂 Filter Data")
alert_filter = st.sidebar.multiselect("Alert Level", ["Green", "Yellow", "Red"], default=["Green", "Yellow", "Red"])
cam_filter = st.sidebar.selectbox("Camera Status", ["All", "Online", "Offline"], index=0)

# Apply filters
filtered_df = apply_filters(df, alert_filter, cam_filter)

# Dashboard summary
display_dashboard(df)

# Pole table
st.subheader("📋 Pole Monitoring Table")
st.dataframe(filtered_df, use_container_width=True)

# Charts
display_charts(df)